DiRAC-2.5 - the pathway to DiRAC Phase 3

Lead Research Organisation: Durham University
Department Name: Physics

Abstract

We request funding to relocate the Blue Wonder HPC cluster and associated storage, currently at the Hartree Centre at Daresbury, to Durham, together with installation and hardware maintenance costs. This move would enable DiRAC to expand the current DiRAC-2 Data centric service, managed by Durham, by a factor of two in both computing power and data storage capacity. The new service would be called the DiRAC-2.5 Data Centric service.

Planned Impact

DiRAC would seek to continue to engage with industry at various levels, from the
provision of computing cycles for industrial applications to the
exchange of technical knowledge and shared training programmes. The
facility will serve to train young scientists in the most advanced
techniques for supercomputing. These have extensive applications beyond
academia, for example in industry and finance. Finally, output from Dirac-based
projects will be used for science outreach activities.

Publications

10 25 50

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Robertson A (2021) The surprising accuracy of isothermal Jeans modelling of self-interacting dark matter density profiles in Monthly Notices of the Royal Astronomical Society

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Ali A (2019) Massive star feedback in clusters: variation of the FUV interstellar radiation field in time and space in Monthly Notices of the Royal Astronomical Society

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McAlpine S (2018) The rapid growth phase of supermassive black holes in Monthly Notices of the Royal Astronomical Society

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Thomas N (2022) The environments of the radio galaxy population in simba in Monthly Notices of the Royal Astronomical Society

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Pfeifer S (2020) The bahamas project: effects of a running scalar spectral index on large-scale structure in Monthly Notices of the Royal Astronomical Society

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Grand R (2018) Aurigaia: mock Gaia DR2 stellar catalogues from the auriga cosmological simulations in Monthly Notices of the Royal Astronomical Society

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Elliott E (2021) Efficient exploration and calibration of a semi-analytical model of galaxy formation with deep learning in Monthly Notices of the Royal Astronomical Society

 
Description See Dirac annual report https://dirac.ac.uk
Exploitation Route See Dirac annual report https://dirac.ac.uk
Sectors Digital/Communication/Information Technologies (including Software),Education

URL https://dirac.ac.uk